Keshav Sharma
AI EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Engineer with 1+ years in data analysis, statistical modeling, and predictive modeling.
Data Analyst with 1.5+ years of experience in statistical analysis, MIS reporting, dashboard development, and predictive modeling. Hands-on expertise in Python (Pandas, NumPy), SQL, and IBM SPSS Statistics for customer segmentation, behavioral analytics, and trend forecasting. Proven track record delivering actionable insights to cross-functional teams — marketing, finance, and operations — through automated reporting pipelines and interactive dashboards. Strong foundation in data validation, KPI design, and stakeholder communication. Experienced in translating large, complex datasets into strategic business recommendations with clear written and visual presentations for senior management.
Manipal University Jaipur
MBA · Data Science & Machine Learning
January 1, 2023 – January 1, 2025
St. Wilfred PG College, Jaipur
Bachelor of Science · Mathematics & Computer Applications
January 1, 2019 – January 1, 2022
Access Million
Data Analyst Intern
August 1, 2025 – February 1, 2026
India
Regex Software Services, Jaipur
AI/ML Engineer Intern
March 1, 2024 – March 1, 2025
Jaipur, Rajasthan, India
Customer Segmentation & Analytics Pipeline - RAG Q&A System
June 1, 2026 – Present
Built an end-to-end data understanding pipeline: ingested, cleaned, and analysed 500+ enterprise documents and datasets; implemented semantic search and retrieval achieving 90%+ precision — directly applicable to large-scale customer data analytics workflows. Designed advanced chunking, embedding optimisation, and automated retrieval re-ranking — mirrors KPI-driven data pipeline design for retail analytics and customer footfall reporting.
View ProjectPredictive Analytics & Self-Correcting Reporting Pipeline
June 1, 2026 – Present
Designed a self-validating analytical pipeline using LangGraph that grades output quality, triggers fallback analysis on low-confidence results, and refines outputs iteratively — directly analogous to MIS report validation, data accuracy checks, and trend forecasting quality control in retail analytics. Built hybrid data retrieval combining structured vector databases with live data lookups - mirrors the integration of multiple data sources (footfall counters, POS data, CRM systems) typical in mall analytics environments.
View ProjectMulti-Source Data Orchestration & Reporting Agent
June 1, 2026 – Present
Architected a LangGraph-based multi-agent workflow for automated structured data extraction, processing, and report generation — demonstrates complex data pipeline automation and reporting workflow design.
View ProjectAI Agents & LLM Applications
GeeksforGeeks
June 1, 2026 – Present
Generative AI Fundamentals
IBM
June 1, 2026 – Present
Google Data Analytics Professional Certificate
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including customer segmentation, predictive analytics, and multi-source data orchestration, indicates a broad interest in applying AI/ML solutions across various business problems. Their academic pursuits in Data Science & Machine Learning, coupled with certifications in Generative AI and AI Agents, align well with a culture that values continuous learning and innovation. The focus on practical, real-world applications in their projects suggests a results-oriented mindset.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills through their project descriptions and work experience. Their ability to design automated reporting pipelines and self-validating analytical systems suggests a proactive approach to ensuring data accuracy and efficiency. Collaboration with cross-functional teams indicates good teamwork and communication skills, essential for operational fit in an engineering role.